If you’re looking for an AI marketing campaign you can actually evaluate - not just read about - Jam Tart is the proof.
In March 2025, our growth agents walked away from the CRN Sales & Marketing Awards with the trophy for Best Use of Data/AI in a Marketing Campaign.
The winning entry? Jam Tart - an AI-powered drag queen who roasts your campaigns with benchmarks, personality, and more honesty than most agency reports ever manage.
This is the story of how the campaign was built, why it worked, and what the approach reveals about the future of AI in B2B. If you’re evaluating what an AI marketing campaign can actually look like in practice - rather than in a vendor’s slide deck - this is the piece for you.
Jam Tart is a live, interactive AI tool available at jam7.com/roast-my-marketing. Submit your marketing - a campaign, a piece of copy, a landing page - and the tool delivers a personalised critique packed with campaign benchmarks, performance stats, and pointed advice.
The CRN judges described it as: "A brilliant example of AI use - humorous, informative, and packed with stats and testimonials."
What they recognised is what sets Jam Tart apart from the wave of AI marketing tools launched in 2024 and 2025: it combines genuine data analysis with genuine personality. This is not a chatbot that rephrases your brief in more formal language. It’s a tool that benchmarks campaigns against customer data patterns, identifies gaps in your messaging, and tells you - in terms you won’t forget - exactly where you’re falling short.
Here’s the thing: artificial intelligence with personality outperforms artificial intelligence without it. Marketers are fatigued by bland, generic output. When content creation starts to look the same everywhere, distinctiveness becomes the competitive edge.
Interactive tools also create stronger engagement signals than static pages. They keep visitors on-site longer, increase return visits, and generate natural sharing on social media - all of which compounds long-term conversion rates.
The campaign was engineered around a single behavioural insight: when someone gets campaign feedback that feels personal and specific, they share it.
That’s not luck. It’s designed performance - a direct link between customer experience and distribution.
Behind Jam Tart’s personality is a serious strategy layer: predictive analytics, market trends interpretation, and brand discipline - all orchestrated by our proprietary Agentic Marketing Platform® (AMP), the marketing brain that powers how we work.
AMP is not “a content generator”. It is a multi-agent orchestration system with a built-in knowledge graph, brand QA engine, and strategy layer. In the context of Jam Tart, AMP enabled the team to:
The result is a campaign that answers the real question buyers ask when they search for AI-powered marketing examples: “What does great AI marketing actually look like - not in theory, but in practice?”
Most competitor content at these keywords answers with lists of hypothetical use cases and vague capability descriptions. Jam Tart answers with a live demonstration you can try.
In B2B, that distinction is everything.
Jam Tart launched during Pride Month. But this was not a rainbow-logo rebrand.
It was a deliberate, substantive celebration of LGBTQ+ creativity - and that difference matters, both ethically and commercially.
Audiences are now extremely good at detecting performative allyship. They can see when a campaign borrows aesthetics without honouring culture.
Jam Tart avoided that trap by making the campaign itself the celebration.
Drag culture is built on precision critique, exaggerated performance, and truth-telling through theatrical excess - all of which map cleanly to the campaign’s purpose: delivering honest, structured, memorable marketing feedback.
That alignment is why the Pride angle landed.
It wasn’t a metaphor bolted onto an existing idea; it was the idea.
Cultural relevance broadened the reach beyond the typical B2B decision-maker, increasing shares, earned attention, and inbound curiosity.
When a campaign earns attention organically, it reduces the cost of distribution and increases the odds that the right people experience the product.
That shows up downstream in conversion rates.
The CRN judge quote deserves unpacking: "humorous, informative, and packed".
Humour is chronically underused in B2B. Yet humour, deployed with precision, signals confidence and humanity - both of which improve customer experience. If a brand can make you laugh at your own marketing failures, it often earns the right to be taken seriously.
Jam Tart doesn’t just roast - it teaches.
Every critique references benchmarks, patterns, and strategic principles grounded in data analysis.
The information is the product; the personality is the delivery system.
The judges noticed that the campaign didn’t hold back.
It gave marketers more than expected, which increases sharing, brand affinity, and follow-up intent.
Jam Tart is still live. She has opinions about your campaigns, and she is not afraid to share them.
Roast my marketing → jam7.com/roast-my-marketing
Submit a campaign, a homepage, a piece of copy - anything you want honest feedback on.
You’ll receive a critique benchmarked against real performance data, delivered in a format you will remember.
🎭 The tool is free. The feedback is honest. The experience is unlike anything else in B2B marketing. No form to fill in. No sales conversation required. Just your marketing and Jam Tart’s unfiltered assessment. → jam7.com/roast-my-marketingIn early testing, one response showed up repeatedly: “I didn’t expect it to be this specific.”
That specificity is the product of a strong strategy layer: historical data, real benchmarks, and a system that forces useful outputs.
The Jam Tart campaign isn’t a novelty.
It’s a proof-of-concept for a broader approach: the Growth Quadrant - where speed and consistency combine to deliver scale and trust.
Many teams are producing more content, faster, with AI.
But volume without clarity creates noise, not growth.
The brands that win will be the ones that answer better, faster, and more honestly - and that means the bar for usefulness keeps rising.
Predictive analytics can help teams anticipate what audiences might search for next.
But prediction without meaning still produces forgettable output.
The differentiator is insight: the ability to translate patterns into action.
The practical lessons from Jam Tart aren’t reserved for brands with AMP.
They apply to any team willing to challenge default assumptions about what enterprise content should look like.
Start by answering the audience’s real question.
Let credibility emerge from the quality of the answer.
Interactive tools outperform static pages because they respond to the user’s specific input.
The more personal the output feels, the more likely it is to be shared.
Without brand QA, content generation becomes inconsistent.
Inconsistency erodes trust over time - even when individual outputs are “good enough”.
If the connection is superficial, don’t participate.
If it’s real, participate fully and substantively.
Every vendor will claim to be AI-powered, human-led, and results-driven.
The claims will become indistinguishable.
A live, interactive tool lets people evaluate the output on their own terms.
That reduces scepticism and accelerates decision-making.
When your first “touchpoint” is useful - not salesy - it improves the entire buyer journey.
It’s the same principle behind great customer service: solve the problem first, then earn the next step.
Jam Tart wasn’t built to live in a vacuum.
The campaign was designed to circulate.
The format was inherently shareable: marketers post the roast because it’s entertaining, specific, and relatable.
That makes distribution feel like participation, not promotion.
For teams using the tool, follow-up email marketing can turn a “fun moment” into a structured improvement plan.
Done well, this turns curiosity into a sustained customer experience that improves conversion rates.
Winning a B2B AI marketing award is a shortcut to trust - but only if the work behind it stands up to scrutiny.
Awards can create immediate customer engagement, improve response rates for email campaigns, and give marketing teams a clear story to anchor their marketing strategy.
But AI credibility also comes with new expectations.
Yes - and the brands that win are the ones that treat these risks as design constraints, not footnotes.
If you want the benefits of AI without the downside, you need a system that protects brand integrity while still operating in real time.
If your campaign relies on customer data, you must treat data privacy as a core part of the creative brief.
Data collection without clear boundaries can damage customer satisfaction fast - especially when people feel “watched” rather than helped.
The fix is disciplined customer relationship management: define what data you do (and do not) use, how long you retain it, and how you communicate it.
Generative AI can sound confident while being wrong.
That becomes dangerous when outputs are presented as benchmarks, performance claims, or “recommended next steps”.
If your AI produces inaccurate actionable insights, your marketing performance drops and your credibility takes the bigger hit.
The solution is a QA layer that validates outputs against approved sources and keeps decision-making human-led.
Without clear constraints, generative AI produces “average internet copy”.
Over time, that flattens tone, weakens positioning, and erodes the competitive advantage you’re trying to build.
For Jam 7, the non-negotiable is one voice: the marketing brain amplifies creativity, but it does not replace judgement.
AI can accelerate audience segmentation, but speed doesn’t guarantee accuracy.
If the model is trained on weak assumptions about user behavior or consumer preferences, you end up optimising for the wrong audience.
The fix is to treat segmentation as a hypothesis: test it in social media posts, landing pages, and email campaigns, then refine based on customer interactions and customer engagement data.
Marketing automation is brilliant for repetitive tasks - data entry, tagging, workflow routing, and response classification.
But when marketing teams automate thinking, strategy collapses.
The next level is not more content. It’s more clarity.
AI features that feel clever to the builder can feel exhausting to the user.
If the user experience is confusing, intrusive, or slow, customer satisfaction will drop.
The best AI technologies are invisible: they reduce friction, increase relevance, and help people make informed decisions.
If your training data reflects narrow perspectives, your outputs will too.
That matters in brand voice, in cultural campaigns, and in how you interpret consumer preferences.
Bias doesn’t just create ethical risk - it creates performance risk.
AI-assisted copy can create ambiguity around ownership and reuse.
For product descriptions, ad variants, and social media posts, you need a clear policy on what is generated, what is edited, and what is approved.
Used well, marketing automation frees teams to focus on strategy - not admin.
Used badly, it just accelerates noise.
Natural language processing helps marketing teams summarise and classify customer interactions at scale.
It can surface recurring objections, category confusion, and unmet customer needs - which is exactly the kind of insight that should reshape marketing strategy.
Audience segmentation works best when it’s grounded in observable user behavior, not guesswork.
The goal is simple: reach the right audience with the right message, while staying disciplined about data privacy.
When you do that, you don’t just improve customer engagement - you improve the entire customer experience.
When automation reduces friction and improves relevance, three things happen:
Search demand for AI terms continues to grow, but the intent is shifting.
People aren’t just looking for definitions.
They’re looking for proof.
They want to see the best use of AI in marketing, in context, with a result they can verify.
They want AI-powered marketing examples that demonstrate value.
They want campaigns that reflect real customer behavior.
Independent validation is hard to replicate.
It moves a claim from “we say so” to “it was judged against peers and won”.
That’s a major differentiator in crowded markets.
Jam Tart is a demonstration. Your strategy should be a transformation.
We work with ambitious B2B tech companies to build AMP-powered marketing engines that answer customer questions better, faster, and more honestly - and that compound trust over time.
Book a discovery call with the team →
Or start with Jam Tart.